REFINE: Reachability-Based Trajectory Design Using Robust Feedback Linearization and Zonotopes-Reference-Cited by-同舟云学术

REFINE: Reachability-Based Trajectory Design Using Robust Feedback Linearization and Zonotopes

Published:2024 Issue: Volume:40 Page:2060-2080
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Liu Jinsun¹^ORCID,Simon Shao Yifei²^ORCID,Lymburner Lucas¹^ORCID,Qin Hansen³^ORCID,Kaushik Vishrut⁴^ORCID,Trang Lena¹^ORCID,Wang Ruiyang¹^ORCID,Ivanovic Vladimir⁵^ORCID,Tseng H. Eric⁵^ORCID,Vasudevan Ram¹^ORCID

Affiliation:

1. Department of Robotics, University of Michigan, Ann Arbor, MI, USA

2. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA

3. Latitude AI, Pittsburgh, PA, USA

4. Peer Robotics, New Haven, CT, USA

5. Ford Motor Company, Canton, MI, USA

Funder

Ford Motor Company

Ford-UM Alliance

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/8860/10365208/10438895-aam.pdf

Reference46 articles.

1. Randomized Kinodynamic Planning

2. Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions

3. Sampling-Based Robot Motion Planning: A Review

4. Planning Algorithms

5. Real-Time Motion Planning With Applications to Autonomous Urban Driving

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1. ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Safe Receding Horizon Motion Planning with Infinitesimal Update Interval;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13